Dr Muaadh Mukred

Dr Muaadh Mukred

  • Lecturer
Department of Business Analytics
Google Scholar ORCID Scopus ResearchGate Web of Science
SDGs Focus
Quality Education
Industry, Innovation and Infrastructure
Peace, Justice and Strong Institutions
Partnership for the Goals

Biography

Dr. Muaadh Mukred is a lecturer in the Department of Business Analytics at Sunway Business School and an associated fellow at the Cyber Security Center, UKM, Malaysia. His career encompasses roles as a software developer at Al-Noor Foundation and a lecturer in computing at Sana’a Community College. He holds a Bachelor's and Master's degree in Computer Science, as well as a PhD in Information Science. Muaadh has published numerous papers in international journals and conferences, focusing on data analytics, artificial intelligence, and technology adoption. He collaborates with various universities, supervises graduate students, and serves as an external examiner and journal reviewer. His research interests span Data Analytics, Artificial Intelligence, Machine Learning, and Database Architecture and Information Science and Management.

Academic & Professional Qualifications

Postgraduate Diploma of Education, Al-Madinah International University, Malaysia (2020)
PhD in Information Science, Universiti Kebangsaan Malaysia, Malaysia (2017)
Master in Computer Science, Universiti Teknologi Malaysia, Malaysia (2011)
Bachelor in Computer Science, University of Al-Mustansiriya, Iraq (2002)

Research Interests

  • Data Analytics
  • Artificial Intelligence
  • Database Architecture
  • Information Science and Management

Teaching Areas

  • Business Analytics
  • Information Management
  • Data Science
  • Computer Science

Courses Taught

  • Python for Business Analytics
  • Business Database Systems
  • Business Information Science Development
  • Machine Learning
  • Capstone Project

Notable Publications

  1. Mukred, M., Asma’ Mokhtar, U., Hawash, B., AlSalman, H., & Zohaib, M. (2024). The adoption and use of learning analytics tools to improve decision making in higher learning institutions: An extension of technology acceptance model. Heliyon.
  2. Mukred, M., Ahmed, W. A., Mokhtar, U. A., & Hawash, B. (2023). Investigating the relation between learning analytics and academic performance at the international modern Arabic school: a qualitative study. In Current and Future Trends on Intelligent Technology Adoption: Volume 1 (pp. 379-391). Cham: Springer Nature Switzerland.
  3. Mukred, M., Asma, M. U., & Hawash, B. (2023). Exploring the acceptance of ChatGPT as a learning tool among academicians: a qualitative study. J. Komunikasi Malays. J. Commun., 39(4), 306-323.
  4. Mukred, M., Alotaibi, F. M., Yusof, Z. M., Mokhtar, U. A., Hawash, B., & Ahmed, W. A. (2023). Enterprise resource planning adoption model for well-informed decision in higher learning institutions. Journal of Information Science, 49(3), 792-813.
  5. Mukred, M., Yusof, Z. M., Al-Moallemi, W. A., Mokhtar, U. A. A., & Hawash, B. (2022). Electronic records management systems and the competency of educational institutions: Evidence from Yemen. Information Development, 38(1), 125-148.
  6. Alotaibi, N. B., & Mukred, M. (2022). Factors affecting the cyber violence behavior among Saudi youth and its relation with the suiciding: A descriptive study on university students in Riyadh city of KSA. Technology in Society, 68, 101863.
  7. Mukred, M., Yusof, Z. M., Mokhtar, U. A., Sadiq, A. S., Hawash, B., & Ahmed, W. A. (2021). Improving the decision-making process in the higher learning institutions via electronic records management system adoption. KSII Transactions on Internet and Information Systems (TIIS), 15(1), 90-113.
  8. Mukred, M., & Yusof, Z. M. (2020). The performance of educational institutions through the electronic records management systems: factors influencing electronic records management system adoption. In Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications (pp. 1578-1598). IGI Global.
  9. Mukred, M., Yusof, Z. M., & Alotaibi, F. M. (2019). Ensuring the productivity of higher learning institutions through electronic records management system (ERMS). IEEE Access, 7, 97343-97364.
  10. Mukred, M., Yusof, Z. M., Alotaibi, F. M., Asma’Mokhtar, U., & Fauzi, F. (2019). The key factors in adopting an electronic records management system (ERMS) in the educational sector: a UTAUT-based framework. IEEE Access, 7, 35963-35980.

Professional Associations

  • Academic member of Association for Information Systems (AIS)
  • IEEE Senior member